A critical reading of "COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach"

This entry contains the materials for a critical reading of a paper published in Diagnostics, an MDPI journal screenshots of the zerogpt analysis of some parts of the paper, showing that abstract, introduction and methods are very likely generated with the help of chatgpt, while results and conclussions are mostly human turniting report of the overall paper showing a 23% of very likely AI generated text the paper as found in the Diagnostics site (just in case some changes happen unnoticed) rejection from preprints.org Waiting more than 4 months for a response... Finally, we received the acceptance in October 28, 2024, we include the proofs acknowledgements: project funded by the spanish MICIN with code PID2020-116346GB-I00/ MICIN/AEI/10.13039/501100011033

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Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average